We are building and scaling AI-enabled digital products that integrate Large Language Models (LLMs), data pipelines, and modern cloud-native services. This role offers the opportunity to embed AI assurance practices early in the product lifecycle, ensuring AI features are reliable, measurable, and responsibly governed before reaching production.
As a AI Assurance Quality Engineer, you will support the validation of AI-generated outputs, structured and unstructured data flows, and automation frameworks. You will work closely with engineering, data, and product teams to operationalize repeatable AI testing practices and contribute to responsible AI delivery.
This is an entry-level growth role within a modern AI engineering environment, combining software testing, data validation, and AI evaluation techniques.
Key Responsibility :
- Execute test cases to validate AI-generated outputs (accuracy, relevance, hallucination detection, bias indicators)
- Support testing of Retrieval-Augmented Generation (RAG) workflows and prompt templates
- Perform API and data validation testing (JSON, structured datasets, model responses)
- Contribute to automated regression test scripts for AI-enabled features
- Document defects, AI quality risks, and contribute to governance evidence trails
- Participate in sprint ceremonies, test planning, and cross-functional collaboration
- Support accessibility and usability validation for AI-driven interfaces
Key Skills and Experience :
- Strong understanding of software testing fundamentals (functional and non-functional testing)
- Good knowledge of API testing and data validation techniques
- Good proficiency in Python or JavaScript for test scripting
- Basic understanding of AI/LLM concepts and prompt-based systems
- Strong analytical skills with attention to detail when reviewing AI outputs
- Good written communication skills for documenting defects and risks
- Familiarity with Git version control workflows
- Certified in Azure AI
Nice to have Skill :
- Exposure to automation frameworks (Playwright, Cypress or similar).
- Understanding of Retrieval-Augmented Generation (RAG) concepts
- Familiarity with cloud environments (AWS, Azure, or GCP)
- Awareness of Responsible AI principles (bias detection, explainability, fairness)
- Experience testing data-driven or ML-enabled systems
- Understanding of CI/CD pipelines and DevOps practices
Qualifications:
- Degree in Computer Science, Software Engineering, Data Science, or related discipline; or equivalent practical experience.
- Demonstrated interest in AI systems, data quality, or automation testing
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.